AAAAAA

   
Results: 1-16 |
Results: 16
SENSOR FAULT-DETECTION VIA MULTISCALE ANALYSIS AND NONPARAMETRIC STATISTICAL-INFERENCE
Authors: LUO RF MISRA M QIN SJ BARTON R HIMMELBLAU DM
Citation: Rf. Luo et al., SENSOR FAULT-DETECTION VIA MULTISCALE ANALYSIS AND NONPARAMETRIC STATISTICAL-INFERENCE, Industrial & engineering chemistry research, 37(3), 1998, pp. 1024-1032
CLOSED-LOOP NONLINEAR PROCESS IDENTIFICATION USING INTERNALLY RECURRENT NETS
Authors: CHENG Y KARJALA TW HIMMELBLAU DM
Citation: Y. Cheng et al., CLOSED-LOOP NONLINEAR PROCESS IDENTIFICATION USING INTERNALLY RECURRENT NETS, Neural networks, 10(3), 1997, pp. 573-586
DETECTION OF LEAKS IN A LIQUID-LIQUID HEAT-EXCHANGER USING PASSIVE ACOUSTIC NOISE
Authors: HSIUNG JT HIMMELBLAU DM
Citation: Jt. Hsiung et Dm. Himmelblau, DETECTION OF LEAKS IN A LIQUID-LIQUID HEAT-EXCHANGER USING PASSIVE ACOUSTIC NOISE, Computers & chemical engineering, 20(9), 1996, pp. 1101-1111
RECTIFICATION OF DATA IN A DYNAMIC PROCESS USING ARTIFICIAL NEURAL NETWORKS
Authors: HIMMELBLAU DM KARJALA TW
Citation: Dm. Himmelblau et Tw. Karjala, RECTIFICATION OF DATA IN A DYNAMIC PROCESS USING ARTIFICIAL NEURAL NETWORKS, Computers & chemical engineering, 20(6-7), 1996, pp. 805-811
INTEGRATION OF FLEXIBILITY AND CONTROL IN-PROCESS DESIGN
Authors: CHACONMONDRAGON OL HIMMELBLAU DM
Citation: Ol. Chaconmondragon et Dm. Himmelblau, INTEGRATION OF FLEXIBILITY AND CONTROL IN-PROCESS DESIGN, Computers & chemical engineering, 20(4), 1996, pp. 447-452
RESOLVING PROBLEMS IN CLOSED-LOOP NONLINEAR PROCESS IDENTIFICATION USING IRN
Authors: CHENG Y KARJALA TW HIMMELBLAU DM
Citation: Y. Cheng et al., RESOLVING PROBLEMS IN CLOSED-LOOP NONLINEAR PROCESS IDENTIFICATION USING IRN, Computers & chemical engineering, 20(10), 1996, pp. 1159-1176
DYNAMIC RECTIFICATION OF DATA VIA RECURRENT NEURAL NETS AND THE EXTENDED KALMAN FILTER
Authors: KARJALA TW HIMMELBLAU DM
Citation: Tw. Karjala et Dm. Himmelblau, DYNAMIC RECTIFICATION OF DATA VIA RECURRENT NEURAL NETS AND THE EXTENDED KALMAN FILTER, AIChE journal, 42(8), 1996, pp. 2225-2239
IDENTIFICATION OF NONLINEAR DYNAMIC PROCESSES WITH UNKNOWN AND VARIABLE DEAD-TIME USING AN INTERNAL RECURRENT NEURAL-NETWORK
Authors: CHENG Y KARJALA TW HIMMELBLAU DM
Citation: Y. Cheng et al., IDENTIFICATION OF NONLINEAR DYNAMIC PROCESSES WITH UNKNOWN AND VARIABLE DEAD-TIME USING AN INTERNAL RECURRENT NEURAL-NETWORK, Industrial & engineering chemistry research, 34(5), 1995, pp. 1735-1742
MODELING AND CONTROL OF A PACKED DISTILLATION COLUMN USING ARTIFICIALNEURAL NETWORKS
Authors: MACMURRAY JC HIMMELBLAU DM
Citation: Jc. Macmurray et Dm. Himmelblau, MODELING AND CONTROL OF A PACKED DISTILLATION COLUMN USING ARTIFICIALNEURAL NETWORKS, Computers & chemical engineering, 19(10), 1995, pp. 1077-1088
CONSTRUCTING A RELIABLE NEURAL-NETWORK MODEL FOR A PLASMA-ETCHING PROCESS USING LIMITED EXPERIMENTAL-DATA
Authors: HUANG YL EDGAR TF HIMMELBLAU DM TRACHTENBERG I
Citation: Yl. Huang et al., CONSTRUCTING A RELIABLE NEURAL-NETWORK MODEL FOR A PLASMA-ETCHING PROCESS USING LIMITED EXPERIMENTAL-DATA, IEEE transactions on semiconductor manufacturing, 7(3), 1994, pp. 333-344
THE POSSIBLE CAUSE AND EFFECT GRAPHS (PCEG) MODEL FOR FAULT-DIAGNOSIS.1. METHODOLOGY
Authors: WILCOX NA HIMMELBLAU DM
Citation: Na. Wilcox et Dm. Himmelblau, THE POSSIBLE CAUSE AND EFFECT GRAPHS (PCEG) MODEL FOR FAULT-DIAGNOSIS.1. METHODOLOGY, Computers & chemical engineering, 18(2), 1994, pp. 103-116
THE POSSIBLE CAUSE AND EFFECT GRAPHS (PCEG) MODEL FOR FAULT-DIAGNOSIS.2. APPLICATIONS
Authors: WILCOX NA HIMMELBLAU DM
Citation: Na. Wilcox et Dm. Himmelblau, THE POSSIBLE CAUSE AND EFFECT GRAPHS (PCEG) MODEL FOR FAULT-DIAGNOSIS.2. APPLICATIONS, Computers & chemical engineering, 18(2), 1994, pp. 117-127
DIAGNOSIS OF MULTIPLE SIMULTANEOUS FAULT VIA HIERARCHICAL ARTIFICIAL NEURAL NETWORKS
Authors: WATANABE K HIROTA S HOU L HIMMELBLAU DM
Citation: K. Watanabe et al., DIAGNOSIS OF MULTIPLE SIMULTANEOUS FAULT VIA HIERARCHICAL ARTIFICIAL NEURAL NETWORKS, AIChE journal, 40(5), 1994, pp. 839-848
DYNAMIC DATA RECTIFICATION BY RECURRENT NEURAL NETWORKS VS TRADITIONAL METHODS
Authors: KARJALA TW HIMMELBLAU DM
Citation: Tw. Karjala et Dm. Himmelblau, DYNAMIC DATA RECTIFICATION BY RECURRENT NEURAL NETWORKS VS TRADITIONAL METHODS, AIChE journal, 40(11), 1994, pp. 1865-1875
DATA RECTIFICATION AND GROSS ERROR-DETECTION IN A STEADY-STATE PROCESS VIA ARTIFICIAL NEURAL NETWORKS
Authors: TERRY PA HIMMELBLAU DM
Citation: Pa. Terry et Dm. Himmelblau, DATA RECTIFICATION AND GROSS ERROR-DETECTION IN A STEADY-STATE PROCESS VIA ARTIFICIAL NEURAL NETWORKS, Industrial & engineering chemistry research, 32(12), 1993, pp. 3020-3028
IDENTIFICATION OF PARTIAL PLUGGING IN A GAS-TRANSPORT PIPELINE BY AN ACOUSTIC METHOD
Authors: KOYAMA H WATANABE K HIMMELBLAU DM
Citation: H. Koyama et al., IDENTIFICATION OF PARTIAL PLUGGING IN A GAS-TRANSPORT PIPELINE BY AN ACOUSTIC METHOD, Applied Acoustics, 40(1), 1993, pp. 1-19
Risultati: 1-16 |